Machines Can See is an international summit in Russia bringing together the leading minds of AI to share latest ideas and trends in Computer Vision and Machine Learning. The main goal of the event is to strengthen the interaction between Russian and international AI communities in the field of Computer Vision and Machine Learning and to exchange the knowledge and expertise.
- Date: 8 June
- Invited talks, posters and demos
is a Full Professor at the University of Edinburgh and a Research Scientist at Google, leading a research group on visual learning in each institution. He received his PhD from ETH Zurich in 2004 and was a post-doctoral researcher at INRIA Grenoble in 2006-2007 and at the University of Oxford in 2007-2008. Between 2008 and 2012 he was an Assistant Professor at ETH Zurich, funded by a Swiss National Science Foundation Professorship grant. In 2012 he received the prestigious ERC Starting Grant, and the best paper award from the European Conference in Computer Vision. He is the author of over 100 technical publications. He regularly serves as an Area Chair for the major computer vision conferences, he will be a Program Chair for ECCV 2018 and a General Chair for ECCV 2020. He is an Associate Editor of IEEE Pattern Analysis and Machine Intelligence. His current research interests are in learning visual models with minimal human supervision, human-machine collaboration, and semantic segmentation.
received an engineering degree from Ecole Polytechnique, Paris, in 1984 and the Ph.D. degree in Computer Science from the University of Orsay in 1989. He joined EPFL (Swiss Federal Institute of Technology) in 1996 where he is now a Professor in the School of Computer and Communication Science. Before that, he worked at SRI International and at INRIA Sophia-Antipolis as a Computer Scientist. His research interests include shape modeling and motion recovery from images, analysis of microscopy images, and Augmented Reality. He has (co)authored over 300 publications in refereed journals and conferences. He is an IEEE Fellow and has been an Associate Editor of IEEE journal Transactions for Pattern Analysis and Machine Intelligence. He often serves as program committee member, area chair, and program chair of major vision conferences and has co-founded two spin-off companies.
is an Associate Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. Her research interests include scene understanding, deep learning techniques for recognition, and joint modeling of images and text. She received her Ph.D. in 2006 at U of I and was an Assistant Professor at UNC Chapel Hill from 2007 to 2012 before returning to U of I. She is the recipient of an NSF CAREER award, a Microsoft Research Faculty Fellowship, and an Alfred P. Sloan Research Fellowship. In 2016, she received the Longuet-Higgins Prize for a CVPR 2006 paper with significant impact on computer vision research. She serves as an Editor in Chief for the International Journal of Computer Vision and the IEEE Transactions on Pattern Analysis and Machine Intelligence, and has served as a Program Chair for ECCV 2012 and Workshops Chair for CVPR 2016.
is Director of AI Research at Facebook, and Silver Professor of Dara Science, Computer Science, Neural Science, and Electrical Engineering at New York University. He received the Electrical Engineer Diploma from Ecole Superieure d’Ingenieurs en Electrotechnique et Electronique (ESIEE), Paris in 1983, and a PhD in Computer Science from Universite Pierre et Marie Curie (Paris) in 1987. After a postdoc at the University of Toronto, he joined AT&T Bell Laboratories in Holmdel, NJ in 1988. He became head of the Image Processing Research Department at AT&T Labs-Research in 1996, and joined NYU as a professor in 2003, after a brief period as a Fellow of the NEC Research Institute in Princeton. From 2012 to 2014 he directed NYU’s initiative in data science and became the founding director of the NYU Center for Data Science. He was named Director of AI Research at Facebook in late 2013 and retains a part-time position on the NYU faculty. His current interests include AI, machine learning, computer perception, mobile robotics, and computational neuroscience. He has published over 180 technical papers and book chapters on these topics. Since the late 80’s he has been working on deep learning methods, particularly the convolutional network model, which is the basis of many products and services deployed by companies such as Facebook, Google, Microsoft, Baidu, IBM, NEC, AT&T and others for image and video understanding, document recognition, human-computer interaction, and speech recognition. He is the recipient of the 2014 IEEE Neural Network Pioneer Award.
is Max-Planck-Director at MPI Informatics and Professor at Saarland University since 2010. He studied computer science at the University of Karlsruhe, Germany. He worked on his master thesis in the field of robotics in Grenoble, France, where he also obtained the «diplome d’etudes approfondies d’informatique». In 1994 he worked in the field of multi-modal human-computer interfaces at Carnegie Mellon University, Pittsburgh, PA, USA in the group of Alex Waibel. In 1997 he obtained his PhD from INP Grenoble, France under the supervision of Prof. James L. Crowley in the field of computer vision. The title of his thesis was «Object Recognition using Multidimensional Receptive Field Histograms». Between 1997 and 2000 he was postdoctoral associate and Visiting Assistant Professor with the group of Prof. Alex Pentland at the Media Laboratory of the Massachusetts Institute of Technology, Cambridge, MA, USA. From 1999 until 2004 he was Assistant Professor at the Swiss Federal Institute of Technology in Zurich (ETH Zurich). Between 2004 and 2010 he was Full Professor at the computer science department of TU Darmstadt.
is a full professor in computer science at the University of Amsterdam, where he heads the Intelligent Sensory Information Systems Lab. He is also a director of the QUVA Lab, the joint research lab of Qualcomm and the University of Amsterdam on deep learning and computer vision. He was previously a visiting scientist at Carnegie Mellon University and UC Berkeley, head of R&D at University spin-off Euvision Technologies and managing principal engineer at Qualcomm Research Europe. His research interests focus on video and image recognition. He has published over 200 journal and conference papers, and frequently serves as an area chair of the major conferences in computer vision and multimedia. He was the general chair of ACM Multimedia 2016 in Amsterdam. Five of his former mentees serve as assistant and associate professors.
Poster and demo session
9:30 — 10:20 AM
10:20 — 10:30 AM
10:30 AM — 12:30 PM
Invited talks (Local speakers)
12:30 — 2:00 PM
Poster and Demo sessions
2:00 — 4:00 PM
Invited talks (International speakers)
4:00 — 4:30
4:30 — 5:50 PM
Invited talks (International speakers)
6:00 — 6:30 PM
Yann LeCun (video lecture)
Arbat Hall is located in the very heart of Moscow, opened in 2017. In the 21st century, the legendary Arbat Hall acquired a new life — and became the birthplace of the most daring technological ideas.
21, New Arbat avenue, Moscow, 119019. Entrance from the side of New Arbat.
Samsung & Skoltech
Head of Graphics
& Media Lab
Head of Samsung-HSE lab
Global Network Partner
can see 2018
8 june 2018
21, New Arbat avenue, Moscow, 119019.
Entrance from the side of New Arbat.